may be part of thecompetitive edge of U.S. engineers.”Another area emphasized in the report is sustainability. It states “Engineering practices mustincorporate attention to sustainable technology, and engineers need to be educated to considerissues of sustainability in all aspects of design and manufacturing.”NAE’s subsequent publication Educating the Engineer of 2020: Adapting EngineeringEducation to the New Century11 produced a 58 page report supplemented with 11 additionalessays and papers. The report produced 14 recommendations as summarized below: 1. “The baccalaureate degree should be recognized as the “pre- engineering” degree or bachelor of arts in engineering degree, depending on the course content and reflecting the
from an Internet sourceand write a reflection summarizing the article and relating it to their careers. We have foundMachine Design magazine’s website12 in particular to be an excellent source for this type ofarticle. For outcome i, we found a white paper on non-linear analysis from SolidWorksCorporation13 to be appropriate. After completing the non-linear analysis assignment, we gavethe students the assignment as follows: In this assignment, we used tabulated results that have been available for many decades along with non-linear software that was not readily available to engineering graduates of only a few years ago. Without a doubt, you will need to keep learning throughout your career. Besides formal classes, trade
Page 24.1377.3around them even though most engineering concepts are observable in our daily lives. EverydayExamples in Engineering make the new topics accessible to students and provide context as towhy they are learning the material and how it relates to their lives. Everyday examples are onlyeffective if they are relevant to the life experience to date of the college student. Engineeringinstructors with years of experience must reflect back to their level of experience and knowledgeas an undergraduate. For example, axial loading and deformation of composite members is anearly topic in the Mechanics of Materials course. A common textbook example for this topic,which many experienced engineers would consider an everyday example, is a concrete
for the Page 24.1383.7 week, there were numerous possibilities: knowledge acquisition/review from readings (where the humble true/false question was often good enough), problem-solving using problems similar to ones covered in lab or the readings, exercises that would require result interpretation or reflective thinking, problem-solving that would require adaptation and transference of learning, etc.2. How much time should students expect to the week's autograded work will take, and how will you make your question selection fit within that time budget? Despite its use of autograding, our course emphasizes
) Fig. 1. Community of InquiryBut it is also appropriate for learning environments that are partly face-to-face and partly on-line. The three principal elements of the CoI model are social presence, cognitive presence andteaching presence. Social presence may be defined as the degree to which participants in thelearning environment feel affectively connected one to another; cognitive presence represents theextent to which learners are able to, via interactions with each other, construct and refine theirunderstanding of important ideas through reflection and discussion; and teaching presence is thedesign of various instructional activities such as lectures as well as activities intended to facilitateinteractions among students to help their
on a given course. From data gathered across all five courses, wefound that on average students spend 3-4 hours per week on online materials/videos, 1-2hours per week on online quizzes/assessments, and 3-4 hours per week on paper-basedproblem sets (if they are part of the course). (See Figure 1 below.)The total time spent outside of class time is therefore 7-10 hours per week. Given that thesecourses are 3-4 units apiece, this is consistent with the definition of a Carnegie unit, whichstates that 1 unit of academic credit reflects approximately 3 hours of work per week inside oroutside of class. To confirm this conclusion, we calculated the hourly range that each studentreported spending on the course overall, and defined that range as low
traditional lectures and students were"forced" to spend even more time studying. The reflection of this is the best students'performance - 83% average and 10% standard deviation in the final exam. The gradedistribution demonstrates that the number of A and AB students is increased, and the number ofC, CD, and F grades is reduced by 50% compared to 2012 class offering. The main conclusionbased on these observations is very obvious: the more students study the better their performanceand therefore their grades. The most difficult issue to address though is to how to continueimplementing a "hard study" policy and at the same time keep students "happy".ConclusionAcademic programs in the School of Technology at Michigan Technological University are
graduates of our institution will be expected to understand basic principles ofthese systems widely used within the defense industry. An example of a basic principle of onesystem: A RADAR user must understand that a pulse is transmitted, a reflection is received andthe distance to the shiny object is derived from the time it took for the echo to return. Alldepartment faculty vetted the topics and principles.The graded work consists of 15 labs, four projects, four exams and 21 homework assignments toprovide practice solving problems. The relatively high amount of graded material paired with alimited amount of classroom time necessitated a unique lesson structure as compared with atypical ECE course. This need is predicated on the assumption that it
, ASEE Annual Conference and Exposition, Atlanta,GA, Paper 7539.12. Sheppard, S., Gilmartin, S., Chen, H.L., Donaldson, K., Lichtenstein, G., Eris, O, Lande, M., and Toye, G.,(2010). Exploring the Engineering Experience: Findings from the Academic Pathways of People LearningEngineering Survey (APPLES), TR-10-01, Center for the Advancement for Engineering Education, Seattle, WA.13. Davis, C., Yeary, M., and Sluss, J., (2012). Reversing the trend of engineering enrollment declines withinnovative outreach, recruiting and retention programs, IEEE Transactions on Education, 55(2), pp.157-163.14. Kolmos, A., (1996). Reflections on project work and problem-based learning, European Journal of EngineeringEducation, 21, pp. 141-148.15. Malicky, D., Huang
not just industrialengineering students but all STEM students are predominantly active, visual, and sensing learnertypes1-4. However, it is evident that most engineering undergraduate courses are generally taughttoward reflective, verbal, and intuitive learner types. This is in fact the exact opposite of thesuggestions made from multiple learning style studies1-4. Engineering teaching is more focusedon theory and mathematical proofs over practical, “real world” applications and experimentationfavored by sensing learners. Engineering instruction tends to be very verbal rather than visual,focusing on written explanations and mathematical formulas. In addition, the engineeringclassroom tends to rely heavily on lectures and reading assignments
longer enough to ensure success of the majority ofstudents in the educational environment today. Professors must evaluate techniques and methodsthat can assist in meeting the multiple learning styles of the students in their classes. For thestudent, transformation includes reflection, practice, and creating personal relevancy andmeaning in the learning process. This is the framework of this pilot study on an onlineEngineering Statics class.Literature ReviewOnline courses were created and deployed in numerous fields throughout the 1990s and 2000s.Online engineering courses lagged behind because of the difficulty of converting face-to-facemathematics and science courses to an online format.1 The technology was not advanced enoughto deploy these
part of Nicole Esposito’s Masters thesis at Texas A&MUniversity. During her time as a graduate student, her work was supported by the NationalScience Foundation Award Numbers CMMI-1000954 and DUE-0942400. Any opinions,findings, and conclusions or recommendations expressed in this paper are those of the authorsand do not necessarily reflect the views of the National Science Foundation.References[1] Sauer, J., and Rüttinger, B., "A new framework for the design of ecological domestic appliances: design- centred product development", Proceedings of the Human Factors and Ergonomics Society Annual Meeting: SAGE Publications, 2000, pp. 6-319-316-322.[2] Esposito, N., and Linsey, J., "Principles of Green Design: Analysis of User
warranty, express or implied, orassumes any legal liability or responsibility for the accuracy, completeness, or usefulnessof any information, apparatus, product, or process disclosed, or represents that its usewould not infringe privately owned rights. Reference herein to any specific commercialproduct, process, or service by trade name, trademark, manufacturer, or otherwise doesnot necessarily constitute or imply its endorsement, recommendation, or favoring by theUnited States Government or any agency thereof. The views and opinions of authorsexpressed herein do not necessarily state or reflect those of the United States Governmentor any agency thereof.”Bibliography[1] Buonopane R. A. (1997), "Engineering Education for the 21st Century: Listen
reflectivity, mechanical robustness, and environmental sustainability, such as carbides, sol-gel coatings, high temperature oxides, and sev- eral polymers. Her research is interdisciplinary in nature and fosters collaborations with Chemical and Biomedical, Mechanical, and Environmental Engineering, Physics, Chemistry, Public Health, Medicine, and the Nanotechnology Research and Education Center (NREC).Prof. Rhonda R. Franklin, University of Minnesota Rhonda Franklin (S’84-M’96) received the B.S. degree in electrical engineering from Texas A&M Uni- versity, College Station, TX and M.S. and Ph.D. degree in electrical engineering from The University of
manuals found inlibrary or online. A word cloud generated for responses placed under this category is shownbelow in Figure 3. Figure 3: Word cloud of all responses that were included in the “plagiarism” category was generated and highlights the frequency and types of responses obtained for this category. c. Collaboration: These were responses that reflected: a true collaboration, not just copyingoff each other, and included discussion, teamwork, ‘instructor said you can work in groups’,sharing, using each other’s work, asking friends for help in same class, and forming studygroups. It was difficult to gauge the differences and accurately categorize some responses
toassociate any equations with a specific subsystem. Admittedly, students in statics do sometimeswrite down equations of equilibrium without specifying the subsystem or drawing its free bodydiagram. This design feature of the tutor reflects a trade-off between granting the user latitude tosolve freely vs constraining the user. The task of interpreting a bundle of equations, eachunclearly associated with a free body diagram, seemed likely to result in false errors. Note alsothat by clicking on ΣFx = 0, for example, the user signals to the tutor that the equation should bejudged by comparison with the correct summation of forces in the x-direction for that subsystem,in terms of the variables and constants as they appear in its free body diagram.The
procedure has been established. At times deadlines have not followed but both the CGE and RMU Abroad-AC have been flexible in supporting FLEAPs and requesting all to follow the deadlines in their next offering. CGE has also taken responsibility to communicate all FLEAP deadlines and matters of importance to school administrators and faculty members so that deadlines are not missed. ● Creating Forms: Keeping in mind that a substantial amount of work goes into a FLEAP, RMU Abroad-AC decided to reduce overall work by removing redundancy. The council reviewed existing forms and developed new ones that better reflected the FLEAP procedure. Many meetings deliberated what was required
as well as a thorough review of the curriculum and ways ofeffectively integrating engineering into their existing courses. Teachers are also required to takeone technical elective. These technical electives are typically offered as a part of the "SummerAcademy". In 2013, two electives were offered - one in the area of energy and the other in thefundamentals of the electrical and computer engineering disciplines. This paper presents anoverview of the "Fundamentals of Electrical and Computing Systems" course, the topicscovered, feedback received and some reflections based on the first offering of the course. A totalof seven in-service middle and high school teachers took the course during the first offering ofthe course in summer 2013
employ this technique to understand how things work.AcknowledgementSome aspects of this work were developed through support of the National Science Foundationunder award 0920164. Any opinions, findings, and conclusions or recommendations expressed inthis material are those of the authors and do not necessarily reflect the views of the NationalScience
based in part upon work supported by the National Science Foundation Researchin Engineering Education program under Grant No. 1129178. Any opinions, findings, andconclusions or recommendations expressed in this material are those of the authors and do notnecessarily reflect the views of the National Science Foundation.References1. UNESCO. Engineering: Issues, Challenges and Opportunities for Development. France: UNESCO; 2010.2. EWB-USA. Our History [Internet]. Engineers Without Borders USA. 2013 [cited 2013 Oct 4]. Available from: http://www.ewb-usa.org/our-story/our-history3. Amadei B, Sandekian R. Model of Integrating Humanitarian Development into Engineering Education. J Prof Issues Eng Educ Pract. 2010 Apr;136:84–92.4
also workwith the collaborative STEM group that has now formed on our campus to link all of the STEMfunded programs to leverage resources and efforts to strengthen the impact our programs have inincreasing the number of minorities and women entering STEM careers.V. AcknowledgementsWe would like to acknowledge our funding source the Department of Education Grant#P120A120034. Any ideas or findings presented in this work are the opinion of the authors andnot reflect the views of the Department of Education.VI. References1. ASEE, Survey of Engineering & Engineering Technology Programs and Research. Data Mining Tool., 2010, www.asee.org. 2. Gibbons, M.T., Engineering by the Numbers. ASEE Profiles of Engineering and Engineering
production workers, such as food batchmakers who have excellent technical skills”[4]. Within the past 20 years, the United States has experienced numerous nationwide food safetyrecalls, reflecting the weaknesses in the current system. In 2010 alone, there have been 23 nationwiderecalls [7]. The urgency for a food and foodstuff ET Pathways driven by improved standards wasunderscored September 22, 2010, during the Congressional testimony of Austin J. DeCoster, owner ofDeCoster Egg Farms, whose operations were linked to the United States’ deadliest outbreak of salmonellainfected eggs that occurred in 1987, as well as this year’s recall of half a billion eggs that sickenedthousands of people.[8] Mr. DeCoster told the House Energy and
. Meyers, Silliman, Gedde, and Ohland (2010) A Comparison of Engineering Students’ Reflections on Their First-Year Experiences. Journal of Engineering Education, 99(2), 169-178.5. Niemi, A., M. Green & M. Roudkovski (2013) Evolution of a First-Year Retention Project: Findings at Halftime. Proceedings of the American Society of Engineering Education Annual Conference & Exposition Atlanta, Georgia.6. Paretti, M. & K. Cross (2011) Assessing First-Year Programs: Outcomes, Methods, and Findings. Proceedings of the American Society of Engineering Education Annual Conference. Vancouver, Canada.7. Cross, N. (2000) Engineering Design Methods: Strategies for Product Design. Chichester, New York: Wiley.8
contributions of Philipp Müller and Adam Probst of the TechnicalUniversity of Munich, Shanon Gilmartin, and the support of all of our colleagues in theDesigning Education Lab at Stanford University. This work was supported by the NationalScience Foundation as a collaborative research grant (NSF-DUE-1020678, 1021893, 1022024,1022090, and 1022644). Any opinions, findings and conclusions or recommendations expressedin this material are those of the authors and do not necessarily reflect the views of NSF.Bibliography1. Byers, T., Seelig, T., Sheppard, S., & Weilerstein, P. (2013). Entrepreneurship: Its Role in Engineering Education. Summer Issue of The Bridge on Undergraduate Engineering Education, 43(2), 35-40.2. Bonnett, C., &
not affect GPA calculations.Each individual engineering student represented in the dataset was categorized either as atransfer student or as a “native” student that first enrolled as a freshman at UAH. Transferstudent status is complicated by students that may have dual enrollment in two institutions ortake classes during the summer breaks. For this study, transfer student status is defined ashaving more than 12 credit hours of transfer credit. The total time to graduation for transferstudents including their prior studies was not consistently available for each student. For thisreason, the time to graduation for transfer students only reflects their time from matriculation tograduation at UAH.3.3 Research HypothesisThe research hypothesis
technological change mandates that facultyremain current in their technical areas of specialization as technology leapfrogs and newdomains of technology evolve, and thus they need to become reflective practitioners.For the current study, it was the intent of the authors to survey faculty teaching in theengineering technology domain to determine the state of professional development andprocesses that are used to maintain technical currency and compare the results with thestudies conducted earlier in 2003 and 2007. II. Data Collection ProcedureTo gauge the status of professional development activities, the faculty survey wasconducted through the ETD listserv (http:etidweb.tamu.edu/listserv.php). Theparticipants were asked to submit their responses
, while simultaneously reducing the cumulative average outside the classroom andincreasing the daily preparation time for each class. AY 13-2 demonstrates multiple lessons witha preparation average of less than five minutes. Page 24.620.18Figure 23 Time-on-task data, representing student preparation outside of class, in minutesusing Thayer 2.0Figure 24 Time-on-task data, representing student preparation outside of class, in minutes Traditional MethodObviously the increased daily preparation is a direct reflection of the requirement to watch videolectures prior to the class, but is shows that students are actually
organize tasks into step-by-step processes, and strive for perfection. Abstract Sequential (left brained) – thinkers like to think in concepts and analyze the Page 24.165.7 information. Abstract Random (right brained) – thinkers organize information through reflection and thrive on unstructured, people oriented environments. Concrete Random (right brained) – thinkers are based in reality and have an experimental attitude.This basic but flawed brain modality model has been used to describe learning styles andseparations by many authors but most agree there is a flow between these styles and thateveryone’s thinking
field, and calculating received power.6 Dipole and monopole antennasare studied next, followed by a brief look at a variety of other antennas and antennas systems:helix, biconical, spiral, horn, loop, dish, antenna arrays, and radomes.1The next topic is RF propagation. The concept of an EM wave is expanded to include awavefront, plane wave, power density, electric field strength, permeability, and permittivity.6Then wave propagation in “other than free” space is covered: reflection, refraction, and Page 24.176.4diffraction.6 This is followed by ground waves, space waves, tropospheric scatter, and skywaves; 6 and finally, free space propagation